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Enterprise AI Project Manager

3 weeks ago


San Francisco, California, United States Scale AI Full time

Join Scale AI as a Senior Engagement Manager for AI Solutions and be part of a team that is accelerating the development of Artificial Intelligence and making it more accessible to businesses.

In this role, you will work closely with our Enterprise AI leadership team to execute on our vision of becoming the partner of choice for AI solutions at Fortune-500 and global blue-chip companies.

You will be responsible for leading high-impact projects, establishing credibility with internal and customer C-Suite stakeholders, and tackling various challenges. Your expertise in Generative AI and Large Language Model (LLM) applications will be essential in helping our clients drive real business value.

Your Key Responsibilities:
  • Partner with leading machine learning, product, engineering, and business teams at world-class companies across industries to help them build and improve GenAI applications that drive real business value.
  • Work directly with leaders at our clients to determine and execute the overall strategy, manage relationships with customer teams, and drive business impact – including occasional travel to be on the ground with our customers.
  • Develop and maintain strong relationships with customer teams, identifying areas where Scale can have the biggest impact and creating an effective feedback loop between the customer and internal teams.
  • Collaborate with cross-functional teams to develop and implement strategies that drive business growth and customer success.

About You:

  • 4+ years of experience in management consulting, technical deployments, business operations, or other highly strategic roles within a rapidly growing company.
  • A strong understanding of the fundamentals of LLMs and the application landscape today – ideally you have built your own application and are a daily user of the latest models.
  • Excellent qualitative and quantitative analytical skills.
  • Strong executive communication skills – able to synthesize complex details into accessible and precise insights.
  • Demonstrated ability to lead projects with technical and business team members, driving to high-quality insights and deliverables amidst ambiguity and tight timelines.